A novel hybrid decomposition-and-ensemble model based on CEEMD and GWO for short-term PM2.5 concentration forecasting

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	A novel hybrid decomposition-and-ensemble model based on CEEMD and GWO for short-term PM2.5 concentration forecasting
	Niu, MF; Wang, YF; Sun, SL; Li, YW
刊名	ATMOSPHERIC ENVIRONMENT
	2016-06
卷号	134 页码:168-180
关键词	Complementary ensemble empirical mode decomposition Grey wolf optimizer Support vector regression Hybrid decomposition-ensemble model PM2.5 concentration forecasting
ISSN号	1352-2310
其他题名	A novel hybrid decomposition-and-ensemble model based on CEEMD and GWO for short-term PM2.5concentration forecasting
通讯作者	Sun, SL (reprint author), Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China.
学科主题	Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
出版地	OXFORD
语种	英语
WOS记录号	WOS:000375504100017
内容类型	期刊论文
源URL	[http://ir.lzu.edu.cn/handle/262010/180823]
专题	数学与统计学院_期刊论文
推荐引用方式 GB/T 7714	Niu, MF,Wang, YF,Sun, SL,et al. A novel hybrid decomposition-and-ensemble model based on CEEMD and GWO for short-term PM2.5 concentration forecasting[J]. ATMOSPHERIC ENVIRONMENT,2016,134:168-180.
APA	Niu, MF,Wang, YF,Sun, SL,&Li, YW.(2016).A novel hybrid decomposition-and-ensemble model based on CEEMD and GWO for short-term PM2.5 concentration forecasting.ATMOSPHERIC ENVIRONMENT,134,168-180.
MLA	Niu, MF,et al."A novel hybrid decomposition-and-ensemble model based on CEEMD and GWO for short-term PM2.5 concentration forecasting".ATMOSPHERIC ENVIRONMENT 134(2016):168-180.